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Data Processing Jobs in Minnesota (NOW HIRING)

Robert Half

Data Engineer

Saint Paul, MN · On-site

$47.50 - $55/hr

Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads. * Implement data protection measures, including masking ...

New

Indotronix International Corporation

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Google Cloud Storage, BigQuery, Looker Studio, Cloud Composer, Gsutil, Dataplex - Deep knowledge of Apache Beam and Apache Airflow - Strong proficiency in Python and SQL for data processing and ...

Saransh Inc

Sr Azure Data Engineer (12+ yrs)

Minneapolis, MN · On-site

$57.50 - $71.25/hr

Implement best practices for data processing and analytics to ensure efficient and reliable data workflows. * Oversee the integration of Azure Databricks with other cloud services to enhance ...

Nahan

Data Center 1

Saint Cloud, MN · On-site

$25 - $32/hr

Data Processing Department Leader FLSA Status: Non-exempt Shift: Days/Remote Wage Range: $25.00-$32.00 *Base pay is based on job-related skills, experience, credentials, role scope, and location.

Avalore, LLC

Data Engineer

Virginia, MN · On-site

$97K - $181K/yr

This person will implement data processing frameworks and technologies, design and optimize data storage solutions, and develop data transformation logic to support analytics requirements. This ...

Nexwave

Sr. Data Scientist

Minnetonka, MN · On-site

$70/hr

Experience with workflow and pipeline orchestration technologies used to automate data processing ... model training, scoring, and deployment. * Experience integrating machine learning or analytical ...

Epicor

Senior Data Ops Developer

Minneapolis, MN · Hybrid

In this role, you will design and maintain cloud-based data pipelines, automate data processes, and translate business requirements into scalable technical solutions. You will partner with Data ...

Horizontal Talent

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

Familiarity with Google Cloud medallion data architecture and GCP-supported data processing tools. * Experience with SAP S/4 data structures and finance reporting. * Background supporting dashboard ...

ADDSOURCE

Healthcare Data Analyst

Eden Prairie, MN · On-site

Manage the implementation, enhancement, and ongoing maintenance of new and existing data workflows, including state-level ETL processes and SQL-based transformations, and identify opportunities to ...

Horizontal Talent

Data Intelligence Analyst

Eagan, MN · On-site +1

$22 - $46/hr

Experience with API integrations and JSON-based data processing. * Familiarity with AI/ML concepts, generative AI tools, or platforms such as Azure OpenAI or AWS Bedrock. * Understanding of data ...

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All JobsData Processing JobsData Processing Jobs in Minnesota

Data Processing information

See Minnesota salary details

$12

$19

$34

How much do data processing jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data processing in Minnesota is $19.85, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.88 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Minnesota?

The most popular types of Data Processing jobs in Minnesota are:

What are popular job titles related to Data Processing jobs in Minnesota?

For Data Processing jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Minnesota look for?

The top searched job categories for Data Processing jobs in Minnesota are:

What cities in Minnesota are hiring for Data Processing jobs?

Cities in Minnesota with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $41,285 per year, or $19.8 per hour.

Data Engineer

Saint Paul, MN • On-site

Robert Half
Recruiting and Staffing Services • 10K+ employees
Learn more about Robert Halfexternal

$47.50 - $55/hr

Temporary

This job post has expired today. Applications are no longer accepted.

Job description

We are looking for an experienced Data Engineer to jcreate and enhance dependable data platforms that support HR and enterprise analytics, partnering closely with analysts, engineering leads, and business stakeholders on site. The position focuses on building scalable pipelines, strengthening data quality, and enabling trusted insights that improve operational decision-making across the organization.


Responsibilities:

• Design, develop, and maintain scalable data pipelines that integrate information from files, APIs, databases, replicated sources, and streaming inputs.

• Build and support modern data environments across warehouses, data lakes, and lakehouse architectures to meet analytics and reporting needs.

• Partner with business analysts, HR stakeholders, and technical team members to translate data requirements into reliable engineering solutions.

• Improve data quality, lineage, and governance by applying metadata-driven practices and implementing controls that increase trust in enterprise datasets.

• Lead end-to-end delivery of data engineering initiatives, from solution design and development through testing, deployment, and operational support.

• Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and timely delivery of critical datasets.

• Apply DevOps practices such as version control, automated testing, and CI/CD processes to increase deployment quality and team collaboration.

• Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads.

• Implement data protection measures, including masking, encryption, anonymization, and role-aware access design, especially for sensitive workforce information.

• Support curated analytical datasets and reporting solutions by collaborating with downstream users on trusted models and enterprise data products.

• 7+ years of experience in data engineering, data modeling, or related data platform development work.
• At least 2 years of hands-on experience working with Snowflake in production data environments.
• Strong background building and supporting ETL or ELT pipelines using SQL and Python.
• Experience with data warehousing, data lakes, and modern cloud-based data architecture patterns.
• Familiarity with Microsoft Azure services used for storage, integration, processing, orchestration, and security.
• Proven ability to lead full lifecycle data engineering or reporting projects with minimal supervision.
• Strong analytical and troubleshooting skills, including root cause analysis and performance optimization.
• Effective communication skills with the ability to work across technical teams, analysts, and business partners.
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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

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